DESCRIPTION AND REQUIREMENTS

We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge & data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem.
Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents.
Collaborate with product and other teams to integrate AI capabilities into enterprise products and services.
Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation.
2. Global Team Collaboration:
Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development.
Establish standards and reusable components to ensure consistency and reusability across projects.
Mentor engineers and promote cross-functional collaboration in AI solution design.
3. Customer & Business Support:
Work with solution and product teams to define and deliver customer-specific AI solutions.
Participate in technical consulting, POCs, and real-world deployment of AI applications.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
• 8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture.
• Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks.
• Familiarity with relational databases such as PostgreSQL and MySQL.
• Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines.
• Solid understanding of DevOps practices and Scrum-based agile development.
• In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks.
• Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks.
• Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots.
• Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus.
• Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams.

Please refer the Job description for details